Membrane proteins, which constitute approximately 20% of most genomes, form two main classes: alpha helical and beta barrel transmembrane proteins. Using methods based on Bayesian Networks, a powerful approach for statistical inference, we have sought to address beta-barrel topology prediction. The beta-barrel topology predictor reports individual strand accuracies of 88.6%. The method outlined here represents a potentially important advance in the computational determination of membrane protein topology.
|Number of pages||3|
|Early online date||7 Oct 2006|
|Publication status||Published - 2006|
Bibliographical noteThis is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
- beta barrel transmembrane protein
- prokaryotic membrane proteins
- Bayesian networks
- prediction method
- sub-cellular location